{"id":"W4308381125","doi":"10.1145/3548606.3560559","title":"Selective MPC","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computation; Key (lock); Server; Noise (video); Secure multi-party computation; Protocol (science); Distributed computing; Theoretical computer science; Algorithm; Artificial intelligence; Computer network; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003362395,0.0007724303,0.00116117,0.0005736314,0.001351251,0.002217356,0.002544303,0.001119123,0.004438525],"category_scores_gemma":[0.01381476,0.0005787031,0.0008084244,0.001115847,0.002119507,0.006250389,0.00736387,0.002444124,0.002024759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463285,"about_ca_system_score_gemma":0.002819767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011345,"about_ca_topic_score_gemma":0.0009986274,"domain_scores_codex":[0.9915855,0.001829349,0.0006030888,0.001827456,0.003125534,0.001029091],"domain_scores_gemma":[0.9781916,0.004212753,0.001287596,0.01441032,0.00155147,0.0003462472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00214394,0.0004147851,0.01324378,0.0009177236,0.0003681598,0.001122653,0.001551089,0.1202433,0.09549069,0.4152023,0.01918505,0.3301165],"study_design_scores_gemma":[0.0001177101,0.0003958955,0.001975959,0.00008782197,0.0001414514,0.001323723,0.0002988529,0.6449116,0.1080119,0.2119033,0.03074021,0.00009151507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08411992,0.0005132874,0.8921136,0.0012459,0.0001194911,0.0004658528,0.0006247905,0.004930615,0.01586649],"genre_scores_gemma":[0.9315379,0.0001904219,0.0615952,0.0003738766,0.00007961348,0.0003014063,0.000330713,0.0002486234,0.005342135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004438525,"threshold_uncertainty_score":0.01778227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669104726638954,"score_gpt":0.2549065721040585,"score_spread":0.2282155248376689,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}